AI Bias Isn't Malice—It's Just Learning From Flawed Data

AI models replicate human prejudices not because they are evil, but because they learn from biased historical data. For example, a loan-scoring model may discriminate against women if trained on past data where women were rejected more often. Removing sensitive attributes doesn't fix the problem, as models can infer protected traits from proxy variables like job title or postcode.